一、學術論文（Journal Articles）

Chen, Y., Lin, C., & Hsu, P. (2022).

Sentiment analysis of Chinese financial reports using deep learning models.

International Journal of Financial Studies, 10(3), 45–58.

Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2019).

BERT: Pre-training of deep bidirectional transformers for language understanding.

Proceedings of NAACL-HLT 2019, 4171–4186.

Engelberg, J. (2008).

Costly information processing: Evidence from earnings announcements.

Journal of Accounting Research, 46(4), 911–940.

Li, F. (2010).

The information content of forward-looking statements in corporate filings—A naïve Bayesian machine learning approach.

Journal of Accounting Research, 48(5), 1049–1102.

Loughran, T., & McDonald, B. (2011).

When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks.

The Journal of Finance, 66(1), 35–65.

Pontiki, M., Galanis, D., Papageorgiou, H., et al. (2016).

SemEval-2016 Task 5: Aspect-based sentiment analysis.

Proceedings of SemEval-2016, 19–30.

Raffel, C., Shazeer, N., Roberts, A., et al. (2020).

Exploring the limits of transfer learning with a unified text-to-text transformer.

Journal of Machine Learning Research, 21(140), 1–67.

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二、技術文件（Technical Documentation）

Google Research. (2023).

mT5: Multilingual text-to-text transfer transformer.

Retrieved from https://github.com/google-research/multilingual-t5

Hugging Face. (2023).

Transformers: State-of-the-art machine learning for NLP.

Retrieved from https://huggingface.co/transformers/

Scikit-learn developers. (2023).

Scikit-learn: Machine learning in Python.

Retrieved from https://scikit-learn.org/

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三、資料來源（Data Sources）

公開資訊觀測站（MOPS）. (2020–2024).

上市公司年報與股東會年報。財政部證券暨期貨局。

Retrieved from https://mops.twse.com.tw/